Transportation Learning Network

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This presentation is based upon Mountain Plains Consortium Research Project 18-367 – Identification of Fatigue Countermeasures for the Short Line Railroad Industry. However, the results of this research are applicable to all transportation sectors in that fatigue applies to human operators in all modes...

LiDAR (Light Detection and Ranging) is a mature and efficient technology currently used by various transportation agencies for highway asset management and data collection purposes. While effective, there are some limitations in using LiDAR as a common engineering tool: the technology is expensive, certain...

To mitigate crash severity and reduce crash rate, advanced technologies such as connected automated vehicles (CAVs) have shown great potentials in preventing human-errors in driving. Using real-time data collected via vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication platforms...

This presentation will cover research conducted by South Dakota State University under Mountain Plains Consortium research funding. The main objective of this study was to implement a systematic method for evaluating Accelerated Bridge Construction (ABC) techniques to determine their applicability to...

Highway assets, including traffic signs, traffic signals, light poles, and guardrails, are important components of transportation networks. They guide, warn, and protect drivers and regulate traffic. To manage and maintain the regular operation of the highway system, state departments of transportation...

Conventional test methods for roadway compaction cover less than 1% of a roadway; whereas, intelligent compaction (IC) offers a method to measure 100% of a roadway. IC offers the ability to increase compaction uniformity of soils and asphalt pavements, which leads to decreased maintenance costs and an...

Effectively capturing traffic volumes on a network scale is beneficial to Transportation Systems Management & Operations (TSM&O). Yet it is impractical to install sensors to cover a large road network. To address this issue, spatial prediction techniques are widely performed to estimate traffic volumes...

MPC-441 - Where the Sidewalks End leverages advances in remote sensing to bridge the data and research gap on pedestrian infrastructure in cities. MPC-430 - A LiDAR-Based Approach to Quantitatively Assessing Streetscapes investigates objective methods to extract streetscape features with three different...

Optimizing Snowplowing Operations in Utah via routing and truck allocation considers a two-stage planning problem where a fleet of snow plow trucks is first divided among a set of independent regions and then each region designs routes for efficient snow removal. In the first stage, we run routing heuristic...

The MPC project of Removal of Escherichia coli from stormwater using recycled steel byproduct filtration: Laboratory to field scale demonstration covers the fact that stormwater runoff is the one of the most common forms of non-point source pollution, which can degrade surface water quality. Fecal indicator...